Al ethics- Best practices
The workshop enables you to understand the foundations/ building blocks of AI and to understand how they can be used to solve complex business problems.
Concepts
- What is AI
- What is the value proposition of AI projects
- What is an AI project – Key characteristics of an AI project
- AI problems: Classification, Regression, Recommendation etc
Data strategy
- Understanding data
- Visualising data
- Understanding feature engineering
- AI project team composition
Business case
- AI business readiness and maturity
- AI projects – causes for success
- AI projects causes for failure
- Creating the AI project business case
- How to define incremental wins
- How to create competitive advantage
- Understanding the state of the art(industry KPIs and benchmarks)
- Model evaluation
Integration and deployment
- Deployment considerations (DevOps and CI/CD)
- Monitoring AI projects
- Scaling an AI project
- Integration with other systems (ex ERP)
- Big data strategy
- Cloud strategy
- Agile integration
How to manage AI projects
The workshop enables you to understand the foundations/ building blocks of AI and to understand how they can be used to solve complex business problems.
Concepts
- What is AI
- What is the value proposition of AI projects
- What is an AI project – Key characteristics of an AI project
- AI problems: Classification, Regression, Recommendation etc
Data strategy
- Understanding data
- Visualising data
- Understanding feature engineering
- AI project team composition
Business case
- AI business readiness and maturity
- AI projects – causes for success
- AI projects causes for failure
- Creating the AI project business case
- How to define incremental wins
- How to create competitive advantage
- Understanding the state of the art(industry KPIs and benchmarks)
- Model evaluation
Integration and deployment
- Deployment considerations (DevOps and CI/CD)
- Monitoring AI projects
- Scaling an AI project
- Integration with other systems (ex ERP)
- Big data strategy
- Cloud strategy
- Agile integration
Intellectual Property Rights and Artificial Intelligence
The workshop enables you to understand the foundations/ building blocks of AI and to understand how they can be used to solve complex business problems.
Concepts
- What is AI
- What is the value proposition of AI projects
- What is an AI project – Key characteristics of an AI project
- AI problems: Classification, Regression, Recommendation etc
Data strategy
- Understanding data
- Visualising data
- Understanding feature engineering
- AI project team composition
Business case
- AI business readiness and maturity
- AI projects – causes for success
- AI projects causes for failure
- Creating the AI project business case
- How to define incremental wins
- How to create competitive advantage
- Understanding the state of the art(industry KPIs and benchmarks)
- Model evaluation
Integration and deployment
- Deployment considerations (DevOps and CI/CD)
- Monitoring AI projects
- Scaling an AI project
- Integration with other systems (ex ERP)
- Big data strategy
- Cloud strategy
- Agile integration
AI Business Strategy for Competitive advantage
The workshop enables you to understand the foundations/ building blocks of AI and to understand how they can be used to solve complex business problems.
Concepts
- What is AI
- What is the value proposition of AI projects
- What is an AI project – Key characteristics of an AI project
- AI problems: Classification, Regression, Recommendation etc
Data strategy
- Understanding data
- Visualising data
- Understanding feature engineering
- AI project team composition
Business case
- AI business readiness and maturity
- AI projects – causes for success
- AI projects causes for failure
- Creating the AI project business case
- How to define incremental wins
- How to create competitive advantage
- Understanding the state of the art(industry KPIs and benchmarks)
- Model evaluation
Integration and deployment
- Deployment considerations (DevOps and CI/CD)
- Monitoring AI projects
- Scaling an AI project
- Integration with other systems (ex ERP)
- Big data strategy
- Cloud strategy
- Agile integration
AI for government and policy makers
The workshop enables you to understand the foundations/ building blocks of AI and to understand how they can be used to solve complex business problems.
Concepts
- What is AI
- What is the value proposition of AI projects
- What is an AI project – Key characteristics of an AI project
- AI problems: Classification, Regression, Recommendation etc
Data strategy
- Understanding data
- Visualising data
- Understanding feature engineering
- AI project team composition
Business case
- AI business readiness and maturity
- AI projects – causes for success
- AI projects causes for failure
- Creating the AI project business case
- How to define incremental wins
- How to create competitive advantage
- Understanding the state of the art(industry KPIs and benchmarks)
- Model evaluation
Integration and deployment
- Deployment considerations (DevOps and CI/CD)
- Monitoring AI projects
- Scaling an AI project
- Integration with other systems (ex ERP)
- Big data strategy
- Cloud strategy
- Agile integration
